Radar target quick CFAR detection method based on smoothing

A detection method and radar target technology, applied in the radio wave measurement system, radio wave reflection/re-radiation, measurement devices, etc., can solve the problems of high detection efficiency, low detection efficiency, large amount of calculation, etc., to improve computing efficiency , the effect of reducing the amount of computation

Active Publication Date: 2017-06-13
XIDIAN UNIV
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Problems solved by technology

[0004] Aiming at the problems of large amount of calculation and low detection efficiency in CFAR detectors in the prior art, the purpose of the present invention is to propose a fast CFAR detection method for

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  • Radar target quick CFAR detection method based on smoothing
  • Radar target quick CFAR detection method based on smoothing
  • Radar target quick CFAR detection method based on smoothing

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Embodiment Construction

[0028] Reference figure 1 , Is a flowchart of a filtering-based fast CFAR detection method for radar targets of the present invention; the following filtering-based fast CFAR detection method for radar targets includes the following steps:

[0029] Step 1. Obtain SAR radar echo data and image the SAR radar echo data to obtain SAR radar imaging data; since SAR radar imaging data may obey different distribution models, the corresponding distribution models follow the SAR radar imaging The resolution and the imaging parameter changes are different. Gaussian distribution, negative exponential distribution, log-normal distribution, and K distribution can all be used to fit the target and detect the background clutter of the target. The embodiment of the present invention adopts Rayleigh distribution to fit Target and detect the background clutter of the target.

[0030] The SAR radar imaging data is recorded as the amplitude matrix I of the image to be detected, where the number of pix...

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Abstract

The invention discloses a radar target quick CFAR detection method based on smoothing. The method specifically comprises the steps of obtaining SAR radar imaging data; marking the SAR radar imaging data as an amplitude matrix I of an image to be detected, wherein the amplitude matrix I includes a moving object-of-interest and background clutters of the moving object-of-interest, and the moving object-of-interest in the amplitude matrix I covers a number of pixels, and the number of pixels is shown in the description; then calculating in sequence an X*Y dimension energy matrix S of an image to be detected and an M*N dimension energy matrix S of the image to be detected, calculating an A dimension frequency domain matrix to be smoothed of the image to be detected so as to further calculate a B dimension statistic matrix of which background clutters are smoothed, wherein the A dimension frequency domain matrix and the B dimension statistic matrix are shown in the description; calculating in sequence an R*G dimension clutter energy matrix of the image to be detected and an R'*G' dimension discrimination matrix of the moving object-of-interest; calculating an X'*Y' dimension effective discrimination matrix of the moving object-of-interest; obtaining the number of pixels in the moving object-of-interest corresponding to elements in the X rows and Y columns in the X'*Y' dimension effective discrimination matrix of the moving object-of-interest, wherein the number of the pixels in the moving object-of-interest is shown in the description. In this way, the moving object-of-interest in SAR radar imaging is detected.

Description

Technical field [0001] The invention belongs to the technical field of radar signal processing, and is a target detection technology in synthetic aperture radar, and particularly relates to a filtering-based rapid CFAR detection method for radar targets, that is, a filtering-based radar target rapid constant false alarm rate (Constant False Alarm) Rate, CFAR) detection method, suitable for the detection of radar moving targets in synthetic aperture radar and inverse synthetic aperture radar in the Rayleigh background. Background technique [0002] In large-scene high-resolution synthetic aperture radar (Synthetic Aperture Radar, SAR) image detection, the constant false alarm rate (Constant False Alarm Rate, CFAR) algorithm is the most widely used algorithm in the field of SAR image target detection, the traditional CFAR algorithm The specific implementation process is: According to the classic statistical detection theory, under a given false alarm probability, the detection thre...

Claims

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Application Information

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IPC IPC(8): G01S7/292G01S7/35G01S13/90
CPCG01S7/2927G01S7/354G01S13/9029G01S13/9064
Inventor 孙光才章林李健邢孟道
Owner XIDIAN UNIV
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